path: "tensorflow.quantization.experimental"
tf_module {
  member {
    name: "QuantizationComponentSpec"
    mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
  }
  member {
    name: "QuantizationMethod"
    mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
  }
  member {
    name: "QuantizationOptions"
    mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
  }
  member {
    name: "TfRecordRepresentativeDatasetSaver"
    mtype: "<type \'type\'>"
  }
  member {
    name: "UnitWiseQuantizationSpec"
    mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
  }
  member_method {
    name: "quantize_saved_model"
    argspec: "args=[\'saved_model_path\', \'output_directory\', \'quantization_options\', \'representative_dataset\', \'overwrite_output_directory\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'False\'], "
  }
}
